Rapid Identification of Mycobacterial Whole Cells in Solid and Liquid Culture Media by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry

Mycobacterial identification is based on several methods: conventional biochemical tests that require several weeks for accurate identification, and molecular tools that are now routinely used. However, these techniques are expensive and time-consuming. In this study, an alternative method was devel...

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Veröffentlicht in:Journal of Clinical Microbiology 2010-12, Vol.48 (12), p.4481-4486
Hauptverfasser: Lotz, Aurélie, Ferroni, Agnès, Beretti, Jean-Luc, Dauphin, Brunhilde, Carbonnelle, Etienne, Guet-Revillet, Hélène, Veziris, Nicolas, Heym, Béate, Jarlier, Vincent, Gaillard, Jean-Louis, Pierre-Audigier, Catherine, Frapy, Eric, Berche, Patrick, Nassif, Xavier, Bille, Emmanuelle
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Sprache:eng
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Zusammenfassung:Mycobacterial identification is based on several methods: conventional biochemical tests that require several weeks for accurate identification, and molecular tools that are now routinely used. However, these techniques are expensive and time-consuming. In this study, an alternative method was developed using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). This approach allows a characteristic mass spectral fingerprint to be obtained from whole inactivated mycobacterial cells. We engineered a strategy based on specific profiles in order to identify the most clinically relevant species of mycobacteria. To validate the mycobacterial database, a total of 311 strains belonging to 31 distinct species and 4 species complexes grown in Löwenstein-Jensen (LJ) and liquid (mycobacterium growth indicator tube [MGIT]) media were analyzed. No extraction step was required. Correct identifications were obtained for 97% of strains from LJ and 77% from MGIT media. No misidentification was noted. Our results, based on a very simple protocol, suggest that this system may represent a serious alternative for clinical laboratories to identify mycobacterial species.
ISSN:0095-1137
1098-660X
DOI:10.1128/jcm.01397-10